Description

Job Overview

We are looking for an experienced trainer specializing in machine learning, MLOps, and cloud-based model deployment to join our team in Riyadh. This role involves delivering expert-level training aligned with the Google Cloud Professional Machine Learning Engineer certification standards. If you have a passion for teaching and strong hands-on experience with Google Cloud tools, this position offers a fantastic opportunity to shape the next generation of ML professionals.

Key Responsibilities

As a trainer, you will provide comprehensive, in-person instruction covering core machine learning concepts and Google Cloud technologies. Your responsibilities include:

• Delivering high-quality training sessions for the Google Cloud Professional Machine Learning Engineer Certification Program.
• Teaching important topics such as ML problem framing, data preparation, feature engineering, model development, evaluation, and deployment.
• Guiding hands-on labs using tools including Vertex AI, BigQuery, Cloud Storage, Dataflow, and AI Platform Pipelines.
• Supporting learners through real-world machine learning lifecycle scenarios like model monitoring, retraining, and fostering responsible AI practices.
• Mentoring students with practical labs, case studies, and complete ML project implementations.
• Preparing candidates thoroughly for the official Google Cloud PMLE certification exam.
• Ensuring training content meets Google Cloud curriculum standards and current industry best practices.

Required Skills and Experience

• Completion of the Google Cloud Professional Machine Learning Engineer Certification is preferred but not mandatory.
• A Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a related discipline.
• At least 5 years of professional experience in machine learning engineering, data science, or deploying ML models on cloud platforms.
• Strong expertise in machine learning model development and evaluation.
• Hands-on experience with Google Cloud ML services, including Vertex AI, Dataflow, BigQuery, and Cloud Storage.
• Knowledge of MLOps processes, continuous integration/delivery for ML workflows, and model performance monitoring.
• Proficiency in Python and ML frameworks such as TensorFlow and PyTorch.
• Understanding of Responsible AI principles covering fairness, transparency, and explainability.
• Previous trainer, instructor, or teaching assistant experience (2+ years preferred).
• Excellent communication and presentation skills.
• Residence in Riyadh is required.

Location

This position is based in Riyadh, Saudi Arabia.

How to Apply

Interested applicants are invited to send their CV along with contact details to admin@averroes-academy.com. Please include “Google Cloud ML Engineer Trainer Application” in the email subject line.